Javascript must be enabled to continue!
Identifying avoidable switchboard delays in England’s NHS hospitals: phase one of the national SWITCH project
View through CrossRef
Background: Inter-hospital communication frequently requires mediation via a switchboard. Identifying and eliminating switchboard inefficiencies may improve patient care. Methods: All 175 acute hospital switchboards in England were contacted six times. Call contents and duration were recorded. No clinician calls or bleeps were connected. Results: The mean delay before contacting a switchboard operative was 55±46 seconds. 115 hospitals (66%) used automated switchboards; 34 of these (30%) had infection control messages. Robot operators introduced an additional 40 second delay versus humans (mean 70.3±28 versus 29.8±23 seconds, p<0.0001). Multivariate analysis identified robot operators (HR 5.1, p<0.0001) and infection control messages (HR 2.9, p=0.003) as predictors of delays over 60 seconds. Conclusions: There are significant avoidable delays in contacting switchboard operatives across England. Quality improvement is underway.
Rila Publications Ltd
Rahul Ghelani
Edd Maclean
Myra Adra
Sarah Anderson
Anshu Arora
Charlotte Aylward
Harmit Bindra
Christine Carter
Max Denning
Naim Dib
Sile Egan
Laura Ganis
Heather Illing
Doaa Rajab Kerwat
Megan Knight
Samantha Maden
Mark Murphy
Sam Myers
Ganesha Mootein
Hannah Penicott
Marie-Claire Rooney
Harpiar Seehra
Farzard Shams
Daniel Yauwan
Ragave Yogarajah
Hongguang Zhu
Title: Identifying avoidable switchboard delays in England’s NHS hospitals: phase one of the national SWITCH project
Description:
Background: Inter-hospital communication frequently requires mediation via a switchboard.
Identifying and eliminating switchboard inefficiencies may improve patient care.
Methods: All 175 acute hospital switchboards in England were contacted six times.
Call contents and duration were recorded.
No clinician calls or bleeps were connected.
Results: The mean delay before contacting a switchboard operative was 55±46 seconds.
115 hospitals (66%) used automated switchboards; 34 of these (30%) had infection control messages.
Robot operators introduced an additional 40 second delay versus humans (mean 70.
3±28 versus 29.
8±23 seconds, p<0.
0001).
Multivariate analysis identified robot operators (HR 5.
1, p<0.
0001) and infection control messages (HR 2.
9, p=0.
003) as predictors of delays over 60 seconds.
Conclusions: There are significant avoidable delays in contacting switchboard operatives across England.
Quality improvement is underway.
Related Results
The Account of the Effect of Switch Probability on Switch and Mixing Costs: An ERP Study in a Cued Task-switching Paradigm
The Account of the Effect of Switch Probability on Switch and Mixing Costs: An ERP Study in a Cued Task-switching Paradigm
Background:
Whether the effect of switch probability on switch and mixing costs is explained by an activation or preparation account is unclear.
...
PLUTO trial protocol: percutaneous shunting for lower urinary tract obstruction randomised controlled trial*
PLUTO trial protocol: percutaneous shunting for lower urinary tract obstruction randomised controlled trial*
Objectives The primary objective is to determine whether intrauterine vesicoamniotic shunting for fetal bladder outflow obstruction, compared with conservative, noninterventional ...
Avoidable Mortality in its Economic Impact in Almaty City, Kazakhstan
Avoidable Mortality in its Economic Impact in Almaty City, Kazakhstan
Introduction:
Studying performance indicators is necessary to understand priorities in the healthcare system and implement specific measures to improve health s...
NHS Patient Choice Policy in England: What Mapping the Private Healthcare Market for NHS Patients Can Tell Us
NHS Patient Choice Policy in England: What Mapping the Private Healthcare Market for NHS Patients Can Tell Us
Abstract
This article examines how the private healthcare market supports successive governments’ commitment in the English National Health Service (NHS) to patient choic...
Validating the Emergency Department Avoidability Classification (EDAC): A cluster randomized single-blinded agreement study
Validating the Emergency Department Avoidability Classification (EDAC): A cluster randomized single-blinded agreement study
IntroductionThe Emergency Department Avoidability Classification (EDAC) retrospectively classifies emergency department (ED) visits that could have been safely managed in subacute ...
Trends in Avoidable Hospitalizations in A Developed City in Eastern China: 2015 to 2018
Trends in Avoidable Hospitalizations in A Developed City in Eastern China: 2015 to 2018
Abstract
Objective: This study aimed to measure the avoidable hospitalization rate and the treatment cost per hospitalization time in large cities of eastern China.Methods:...
The rise and decline of TQM in the NHS
The rise and decline of TQM in the NHS
Purpose
– The purpose of this paper is to delineate the factors responsible for the decline of total quality management (TQM) in the National Health Service (NHS). ...
Factors predicting treatment delays in endometrial cancer
Factors predicting treatment delays in endometrial cancer
Background: Women diagnosed with type I endometrial cancer have a favorable prognosis and are often cured with surgery alone when treated in a timely manner at an early stage. Howe...

